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Research Article | Open Access |

Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review

Author 1: Irma Huamanñahui Chipa Author 2: Javier Gamboa-Cruzado Author 3: Jimmy Ramirez Villacorta
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 10 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0131010

Abstract

Now-a-days, cybercrime, cyberattacks, cyber security, phishing and malware are taking a more notorious role in people's daily lives, not only at the international level. The great technological leaps brought with them new modalities of cybercrime, the number of victims of cybercriminals has increased considerably. The objective of this study is to determine the state of the art about Mobile Applications and their impact on Computer Crime Prevention. Therefore, it has become necessary to know what preventive measures are being taken, such as techniques for detecting computer crimes, their modalities and their classification. To close this knowledge gap, a systematic literature review (SLR), a methodology proposed by Kitchenham & Charters, was proposed to obtain the detection techniques and classification of computer crimes based on the review of 68 papers published between the years 2017 and 2022. Likewise, different tables and graphs of the selected studies are provided, which offer additional information such as the most used keywords per paper, biometric networks, among others.

Keywords

How to Cite this Article

Irma Huamanñahui Chipa, Javier Gamboa-Cruzado and Jimmy Ramirez Villacorta. "Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review". International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 10, 2022. https://doi.org/10.14569/IJACSA.2022.0131010

BibTeX

@article{Chipa2022,
  title     = {Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {10},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Irma Huamanñahui Chipa and Javier Gamboa-Cruzado and Jimmy Ramirez Villacorta},
  doi       = {10.14569/IJACSA.2022.0131010},
  url       = {https://doi.org/10.14569/IJACSA.2022.0131010}
}

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